JWST + ALMA ubiquitously discover companion systems within $\lesssim18\,$kpc around four $z$$\approx$3.5 luminous radio-loud AGN
Wuji Wang, Carlos De Breuck, Dominika Wylezalek, Jo\"el Vernet,, Matthew D. Lehnert, Daniel Stern, David S. N. Rupke, Nicole P. H. Nesvadba,, Andrey Vayner, Nadia L. Zakamska, Lingrui Lin, Pranav Kukreti, Bruno, Dall'Agnol de Oliveira, Julian T. Groth

TL;DR
This study uses JWST and ALMA data to discover multiple companion systems around four high-redshift radio galaxies, shedding light on galaxy interactions and AGN activity at cosmic noon.
Contribution
First detection of kpc-scale companions around $z\sim3.5$ HzRGs using combined JWST and ALMA observations, revealing potential minor mergers and their impact on AGN activity.
Findings
Approximately 12 companion systems within 18 kpc identified.
Companions show evidence of disk rotation and complex motions.
Estimated dynamical masses suggest minor merger scenarios.
Abstract
Mergers play important roles in galaxy evolution at and beyond Cosmic Noon (). They are found to be a trigger of active galactic nuclei (AGN) activity and a process for growing stellar mass and black hole mass. High- radio galaxies (HzRGs=type-2 radio-loud AGN) are among the most massive galaxies known, and reside in dense environments on scales of tens of kiloparsecs to Megaparsecs. We present the first search for kpc-scale companions in a sample of four HzRGs, with many supporting datasets, using matched 0.2" resolution ALMA and JWST/NIRSpec integral field unit data. We discover a total of companion systems within kpc across all four HzRG fields using two independent detection methods: peculiar [OIII] kinematics offset from the main (systemic) ionized gas component and [CII] emitters. We examine the velocity fields…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
